51 to 75 of 953 Snowflake Jobs

in data engineering, analytics engineering, or a similar role. Proficiency in SQL and/or Python for data transformation and automation. Hands-on experience with cloud data warehouses (e.g. Snowflake, Redshift, BigQuery). Strong understanding of data modelling, ETL/ELT workflows, and data validation. Experience with BI tools such as Power BI, Tableau, or Looker. Ability to translate complex More ❯

skills in SQL and Python , with hands-on experience in relational databases across cloud and on-prem environments. Familiarity with modern data technologies such as Apache Spark , Kafka , or Snowflake . A comprehensive understanding of the data engineering lifecycle, including Agile delivery , DevOps , Git , APIs , containers , microservices , and pipeline orchestration . Nice to have: DP-203 Azure Data Engineering/ More ❯

skills in SQL and Python , with hands-on experience in relational databases across cloud and on-prem environments. Familiarity with modern data technologies such as Apache Spark , Kafka , or Snowflake . A comprehensive understanding of the data engineering lifecycle, including Agile delivery , DevOps , Git , APIs , containers , microservices , and pipeline orchestration . Nice to have: DP-203 Azure Data Engineering/ More ❯

skills in SQL and Python , with hands-on experience in relational databases across cloud and on-prem environments. Familiarity with modern data technologies such as Apache Spark , Kafka , or Snowflake . A comprehensive understanding of the data engineering lifecycle, including Agile delivery , DevOps , Git , APIs , containers , microservices , and pipeline orchestration . Nice to have: DP-203 Azure Data Engineering/ More ❯

skills in SQL and Python , with hands-on experience in relational databases across cloud and on-prem environments. Familiarity with modern data technologies such as Apache Spark , Kafka , or Snowflake . A comprehensive understanding of the data engineering lifecycle, including Agile delivery , DevOps , Git , APIs , containers , microservices , and pipeline orchestration . Nice to have: DP-203 Azure Data Engineering/ More ❯

seeking Experienced Lead Data Engineer Strong Data Engineer Language Skills (Python, SQL, Javascript) Experience of Azure, AWS or GCP cloud platforms and Data Lake/Warehousing Platforms such as Snowflake, Iceberg etc Experience of various ETL and Streaming Tools (fiveTran, Flink, Spark) Experience of a variety of data mining techniques (APIs, GraphQL, Website Scraping) Ability to translate Data into meaningful More ❯

experience as a Data Engineer (3-5 years), preferably in the energy sector. Right to work in the UK. Strong proficiency in SQL and database technologies (e.g., MS SQL, Snowflake). Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful data visualisation. Strong More ❯

experience as a Data Engineer (3-5 years), preferably in the energy sector. Right to work in the UK. Strong proficiency in SQL and database technologies (e.g., MS SQL, Snowflake). Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful data visualisation. Strong More ❯

be great if you have: Experience of relevant cloud services within AWS, Azure or GCP. Experience working in an Agile environment. Experience working with common vendor products such as Snowflake or Data Bricks. Experience working with CI/CD tooling. What you'll get in return is: 25 days' annual leave, rising to 30 days with each year of service. More ❯

the team: Proven experience as a Principal Data Engineer or Data Architect in a hands-on role; Deep expertise in Databricks and experience with cloud data platforms such as Snowflake, AWS or Azure; Strong proficiency in data modeling, data warehousing, and ETL/ELT architecture at scale; Advanced programming skills in SQL and Python; experience with orchestration and data pipeline More ❯

DI, SAS Viya). An ability to write complex SQL queries. Project experience using one or more of the following technologies: Tableau, Python, Power BI, Cloud (Azure, AWS, GCP, Snowflake, Databricks). Project lifecycle experience, having played a leading role in the delivery of end-to-end projects, as 14, rue Pergolèse, Paris, Francewell as a familiarity with different development More ❯

and mutual respect; accepting differences and treating everyone fairly. The ability to think outside of the immediate task and constantly look at ways of improving processes. Desirable Experience with Snowflake, Azure, AWS Experience with GA4, Search Console and Meta data sets Experience with property management software MRI Qube, Yardi or similar. Experience with complex databases Experience in system support, monitoring More ❯

solving, debugging, and performance-tuning skills. Preferred Qualifications Strong communication skills and demonstrated ability to engage with business stakeholders and product teams. Experience in data modeling , data warehousing (e.g., Snowflake , AWS Glue , EMR , Apache Spark ), and working with data pipelines . Leadership experience—whether technical mentorship, team leadership, or managing critical projects. Familiarity with Infrastructure as Code (IaC) tools like More ❯

understanding of dimensional modelling Familiarity with AWS data services (S3, Athena, Glue) Experience with Airflow for scheduling and orchestrating workflows Experience working with data lakes or modern data warehouses (Snowflake, Redshift, BigQuery) A pragmatic problem solver who can balance technical excellence with business needs At Funding Circle we are committed to building diverse teams so please apply even if your More ❯

solutions Developing database scripts to migrate from current to cloud based databases Developing optimization plan and automated solutions for post migration environments Certified in AWS Pro Solutions Architect/Snowflake SnowPro, and/or GCP Pro Cert. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we More ❯

/AI solutions using Python, Java, or Scala. Data Engineering Specialization: Hands-on expertise with Data Lakes, SQL-based databases, and Cloud-based Data Warehousing/ETL tools like Snowflake, Redshift, Bigquery, etc Advanced Tech Skills : Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimization, and memory management, with additional proficiency in AI ecosystems like Machine Learning, Deep More ❯

of SQL and relational databases. NoSQL databases is also desirable. Solid experience of at least one Cloud provider such as AWS, Azure or GCP. Solid experience of working with Snowflake and dbt. Strong experience of working with different data formats, e.g., CSV, JSON and XML Building reliable Data Pipelines Experience in Data Modelling is highly desirable. Broader knowledge of IT More ❯

making across the data and ML engineering domain on technical approaches to balance delivering near-term commercial impact and building long-term foundations. Our Tech Stack Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran, Airflow CI/CD - Github More ❯

of-breed vendor tools. We deploy team members from on-shore, near-shore and off-shore teams, and often work alongside our major alliance partners, such as Microsoft, IBM, Snowflake, Moody's, Service Now and Pega to deploy solutions. Increasingly we collaborate with FinTech firms too. We are passionate about keeping pace with the latest emerging technology. We have recently More ❯

of Dataverse) and/or Power Automate. Copilot Studio experience also desirable. Programming language (Python, R or SQL) Hands-on experience with tools such as Microsoft Fabric, Databricks, or Snowflake Consulting Experience: Current experience in a major consulting firm and/or significant consulting background with evidence of effective stakeholder management to address business challenges Experience working across various stages More ❯

Who we are At CoverWallet we are determined to revolutionize the insurance industry! We launched in 2015 and since then we are the leading digital platform for contracting insurance for small and medium-sized companies. Thanks to state-of-the More ❯

5+ years of experience in data engineering, with a strong focus on Snowflake and AWS. >Proficiency in SQL, Python, and ETL tools (Streamsets, DBT etc.) >Hands on experience with Oracle RDBMS >Data Migration experience to Snowflake >Experience with AWS services such as S3, Lambda, Redshift, and Glue. >Strong understanding of data warehousing concepts and data modeling. >Excellent problem-solving and More ❯

Job Title : Snowflake Data Engineer - Cortex AI Location: Spain (Madrid) Type : Contract/Permanent Skills: Snowflake, Cortex AI, AWS & Python. Working Model: Remote within Spain (eventual trips to the client's offices). We are hiring a Snowflake Data Engineer - Cortex AI to design and maintain scalable data solutions using Snowflake, Cortex AI, and AWS. The role requires 5+ years … containerization tools like Docker/Kubernetes. Required Skills: 5+ yrs of experience as Data engineer Design, build, and maintain large-scale data pipelines, data warehouses, and data lakes on Snowflake, leveraging Cortex AI to drive business insights and decision-making Proficiency in Cortex and AWS Services. Strong programming skills in Python, experience in Streamlit Experience with containerization technologies (e.g., Docker More ❯

A large Financial Services company are looking for a Data Engineer with Snowflake experience to join their growing Data Engineering team in London - this is a permanent role with hybrid working arrangements, with 2 days per week in the office in average. In this role you will be working within a new, greenfield division of the business, using a brand … new technology stack including Snowflake, dbt, Airflow and AWS. This function provide data for Machine Learning and Artificial Intelligence capabilities, helping them to provide the best possible service offering to their customers. You'll work on delivering end-to-end solutions and, as a more Senior member of the team, you will mentor Junior colleagues, take ownership of projects, and … a start-up mentality with a strong financial backing, and the chance to make a real impact! We're looking for the following experience: Extensive hands-on experience with Snowflake Extensive experience with dbt, Airflow, AWS and Terraform Exellent scripting skills in SQL Experience developing solutions entirely from scratch Great communication skills, with the ability to understand and translate complex More ❯

As a Data Engineering Specialist, you'll play a vital role in transforming how the business uses data. You'll lead critical migration projects, work with modern tooling like Snowflake, and help architect scalable, future-proof data solutions. You'll also collaborate with business stakeholders, mentor colleagues, and drive improvements in data quality across the board - all while building slick … data migration and integration tasks, ensuring quality and alignment across systems. Design, implement, and optimise ETL processes to streamline data movement from diverse sources. Build and enhance a robust Snowflake data warehouse to support evolving reporting needs. Troubleshoot and resolve data quality issues, supporting business users with self-service access. Develop Python-based automation tools and scalable pipelines. Conduct data … Proven experience across the full data lifecycle - from ingestion and transformation to validation and analysis. Strong Python skills and confidence building automation for large-scale data tasks. Hands-on Snowflake and Azure experience. Deep understanding of ETL/ELT pipelines and data governance standards. A solid grasp of financial data or lending domain knowledge is highly desirable. A passion for More ❯